Fabric Architect

Relha LLC; California, Northern (MO, KY); Hybrid; USD 151,000 - 253,000; Full time

Job summary

Deloitte Consulting LLP in the United States seeks a Lead Data Engineer II to design and deliver modern data analytics on Microsoft Fabric, including Lakehouse, Warehouse, and OneLake deployments. You will lead engagements, mentor juniors, and craft scalable data architectures across hybrid environments.

Role emphasizes governance, RBAC, data classification, and CI/CD, with opportunities to shape deals and contribute hands-on solutions across distributed teams.

Qualifications

• 6+ years experience in data architecture, data engineering, or related field.
• 3+ years hands-on with Microsoft Fabric-based solutions incl. lakehouse/warehouse.
• Experience with Fabric governance, RBAC, data classification, and Purview integration.
• Dimensional modeling and star schema for BI/semantic models.
• Knowledge of Fabric capabilities such as Fabric IQ, Ontology, Graph, Real-Time Intelligence.
• ETL/pipeline solutions using Fabric Notebooks or Dataflow Gen2; dbt for orchestration.
• Fabric platform architecture: workspace, CI/CD, deployment pipelines, backup/DR.
• Experience supporting deal pursuit and architecture documentation.
• 4+ years in SQL/T-SQL and Python, with PySpark/Spark SQL for analytics.
• 4+ years leading AI & Data solution engagements.
• Bachelor’s or Master’s degree in CS/Engineering/Data Science/AI.
• Ability to travel up to 50% depending on client work.

Responsibilities

• Lead design and delivery of modern data and analytics solutions for client engagements.
• Hands-on Fabric implementation and migration across Lakehouse, Warehouse, OneLake.
• Mentor junior practitioners and oversee team deliverables.
• Propose architecture, migration patterns, and deal strategies.
• Collaborate across distributed teams and maintain stakeholder alignment.
• Stay current with Fabric capabilities and apply to client value.

Skills

Microsoft Fabric

Delta Lake

Lakehouse

dbt

Spark Notebooks

Data Factory

PySpark

SQL/T-SQL

Python

REST API data ingestion

Azure DevOps

GitHub

RBAC

Purview

Data governance

CI/CD

Fabric Git integration

DevOps

Data architecture

Enterprise data platforms

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or related field

Tools

Databricks

Snowflake

Google BigQuery

Redshift

dbt

GitHub

Azure DevOps

Data Factory

Purview

Job description

Microsoft Fabric – L55 – Fabric Architect/Engineer

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting‑edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission‑critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 9/19/26.

Work You’ll Do

As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of modern data and analytics solutions for client engagements. In this role, you will bring genuine, hands‑on, lived‑in experience leading Microsoft Fabric implementation and migration engagements — spanning Lakehouse, Warehouse, and OneLake — applying practical, proven strategies to deliver scalable, production‑grade unified data platforms.

Lead small engagements or key workstreams within large, complex data and analytics transformations across industries

Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms

Manage day‑to‑day stakeholder relationships and align technical delivery to business and program objectives

Oversee quality of team deliverables and recommendations while contributing to hands‑on solution delivery across distributed teams

Support practice growth through proposal development and deal shaping, thought leadership and AI‑driven accelerators, and coaching junior practitioners

Lead delivery of Microsoft Fabric implementation and migration engagements, applying practical, proven architecture and migration patterns across Lakehouse, Warehouse, and OneLake workloads

Own hands‑on build of the Fabric environment and its unified data platform end‑to‑end across workloads, translating architecture decisions and recommendations into scalable, flexible, working implementations

Design and build out medallion (bronze/silver/gold) layers in Fabric, and implement role‑based access control and data classification definitions

Stand up ETL/pipeline work using Spark Notebooks, Dataflow Gen2, Fabric Data Factory with close attention to lineage preservation

Advise across the full breadth of Fabric architecture — workspace organization/structure, CI/CD, data protection planes and best practices, capacity management, backup/DR strategy, and guidance on best fit Fabric items

Stay current with evolving data and analytics technology platform capabilities, proactively evaluating and applying new capabilities to client solutions

Qualifications

Required:

6+ years experience with relevant technology project experience in data architecture, data engineering, enterprise architecture, or a related discipline

3+ years hands‑on experience architecting and delivering end‑to‑end Microsoft Fabric–based solutions, including lakehouse and warehouse implementations built on Delta Lake table formats, medallion architectures, ingestion pipelines, semantic models, and governance frameworks

Experience implementing Fabric governance and security constructs, including role‑based access control (RBAC), data classification, data protection best practices, and integration with Microsoft Purview for enterprise data governance

Experience with dimensional modeling and star schema design in support of semantic models and BI reporting

Working understanding of the latest Microsoft Fabric platform capabilities — such as Fabric IQ, Ontology, Graph, and Real‑Time Intelligence — and how to apply them to deliver business value, including grounding agentic AI experiences in enterprise semantic and ontology layers

Experience building ETL/pipeline solutions using Fabric Notebooks and/or Dataflow Gen2, with attention to data lineage preservation, and with dbt for transformation orchestration and modeling workflows

Experience with Fabric platform architecture, including workspace organization/structure, CI/CD and deployment pipelines (e.g., Fabric Git integration and deployment pipelines across dev/test/prod), capacity management, and backup/DR strategy

Experience supporting deal pursuit and shaping activities, including defining architecture, migration patterns, and implementation approaches

4+ years hands‑on experience with SQL/T‑SQL and Python, including PySpark/Spark SQL for data transformation and analytics modeling, with working knowledge of REST API‑based data ingestion and CI/CD practices (e.g., Azure DevOps, GitHub)

4+ years experience leading, managing and delivering complex AI&Data solutions engagements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or related field

Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve

Limited immigration sponsorship may be available

Preferred:

Experience with Databricks, Snowflake, Google BigQuery and Redshift

Experience in consulting and client-facing delivery roles

Experience in creating critical collaterals for client workshops and customer interactive sessions

Experience presenting technical content to both large and small audiences

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document Benefit Plan Core/Domain : USBenefitsJourneyCDandETAM

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,000 to $253,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at [emailprotected] .

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Our purpose

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers